graph_nets

Graph network builder

Builds graph networks in TensorFlow using a library provided by DeepMind's AI research organization.

Build Graph Nets in Tensorflow

GitHub

5k stars
225 watching
783 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list

artificial-intelligencedeep-learninggraph-networksgraphsneural-networkssonnettensorflow

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
tensorflow/gnn Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. 1,372
google-deepmind/sonnet A simple, composable neural network library built on top of TensorFlow 2. 9,790
dmlc/dgl A Python package for building deep learning models on graph data structures 13,601
nlintz/tensorflow-tutorials A collection of tutorials teaching deep learning with TensorFlow using Jupyter Notebooks 6,003
danielegrattarola/spektral A Python library for building graph neural networks with Keras and TensorFlow 2. 2,372
pyg-team/pytorch_geometric A PyTorch-based library for training and applying Graph Neural Networks to structured data 21,597
google-deepmind/dnc An implementation of a neural network architecture designed to efficiently process sequential data with dynamic external memory 2,501
tflearn/tflearn A high-level API for deep learning that builds upon TensorFlow 9,621
graphdeeplearning/benchmarking-gnns A collection of datasets and tools for evaluating graph neural networks 2,537
thunlp/gnnpapers A curated collection of must-read papers on graph neural networks, providing a comprehensive overview of the field. 16,122
benedekrozemberczki/mixhop-and-n-gcn A deep learning framework implementation of higher-order graph convolutional architectures and their applications 403
benedekrozemberczki/graphwaveletneuralnetwork An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. 577
liqimai/gcn An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries. 45
taehoonlee/tensornets A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. 1,004
tkipf/pygcn A PyTorch implementation of a graph neural network architecture for semi-supervised classification 5,214